code: def test_convert_mtf_tensor_to_tf_tensor(self):
      x_np = np.array([[1, 2, 3], [4, 5, 6]])
      converter = test_utils.NumpyConverter()
      shape = mtf.Shape(
          [mtf.Dimension("dim0", 2), mtf.Dimension("dim1", 3)]
      )
      x_mtf = mtf.constant(
          converter.mesh, x_np, shape=shape, dtype=tf.int32
      )
      _, x_tf = converter.convert_mtf_tensor_to_tf_tensor(x_mtf)
      actual = self.evaluate(x_tf)
      self.assertAllEqual(x_np, actual)
  
file_path: mesh/mesh_tensorflow/test_utils_test.py
imports: import mesh_tensorflow
  from mesh_tensorflow import test_utils
  import numpy
  import tensorflow.compat.v1
  from tensorflow.python.framework import test_util
label_desc: Use image node_id 3 for calling the TestUtilsTest obj's underlying member method code with example usage: obj.test_convert_mtf_tensor_to_tf_tensor() without return types